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Security and Resilience in Distributed Machine Learning : Challenges, Techniques, and Future Directions.
- Format:
- Book
- Author/Creator:
- Li, Kai.
- Series:
- Springer Series in Reliability Engineering Series
- Language:
- English
- Physical Description:
- 1 online resource (346 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Cham : Springer, 2026.
- Summary:
- This book offers a comprehensive exploration of federated learning (FL), a novel approach to decentralized, privacy-preserving machine learning.This book delves into the resilience and security challenges inherent to FL, such as model poisoning and malicious attacks, that jeopardize system integrity.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9783032239594
- OCLC:
- 1592690237
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